Summary
Nikolai Shikunov is a Senior Data Scientist with 7 years of experience building experimentation, causal inference and pricing/promotion optimisation systems across food delivery, e-commerce and aviation. At Delivery Hero he built end-to-end discounts experimentation infrastructure and led a team to ship the company’s first vendor discount recommendation service using causal uplift and two-way fixed effects, with a roadmap to S-learner and Double ML. Previously he delivered large-scale ML products—an out-of-stock system for 200M+ SKUs at SberMarket that materially improved GMV and fulfillment metrics, and booking anomaly detection at Etihad that cut overbooking incidents. He blends hands-on modelling (LightGBM, EconML, PyTorch) with engineering delivery (Airflow, Kafka, dbt, Kubernetes), champions data quality and self-serve tooling, and enjoys mentoring cross-functional teams. A Business Informatics graduate based in Berlin, he pairs experimentation rigor with product-minded optimisation to turn messy data into repeatable business decisions.
7 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Business informatics & Data Science, Bachelor's degree, Business informatics & Data Science at Higher School of Economics